library_name, license, base_model, tags, model-index

library_name	license	base_model	tags	model-index
transformers	other	meta-llama/Llama-3.1-8B	llama-factory full generated_from_trainer	name results ds3full_pretrain

ds3full_pretrain

This model is a fine-tuned version of meta-llama/Llama-3.1-8B on the cpt_jazz_v3, the cpt_jazz_v3_copy, the cpt_opensource_v3 and the cpt_local_v3 datasets. It achieves the following results on the evaluation set:

• Loss: 1.1027

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 32
• total_train_batch_size: 256
• total_eval_batch_size: 8
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss
1.1993	0.3176	200	1.1916
1.1243	0.6351	400	1.1279
1.1059	0.9527	600	1.1028

Framework versions

• Transformers 4.57.1
• Pytorch 2.9.1+cu128
• Datasets 4.0.0
• Tokenizers 0.22.1